Testing Cyber-Physical Production System: Test Methods Categorization and dataset

Oudina, Zina; Derdour, Makhlouf; Bouhamed, Mohammed Mounir

doi:10.1109/pais56586.2022.9946868

Cited by 5 publications

(1 citation statement)

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“…In the study [10], they explained that the researchers adopted model-based approaches, different methodologies and techniques, and tools for modeling cyber-physical systems. In the study [11], they surveyed and classified test methods and highlighted the testbed as the most commonly used.…”

Section: Cyber-physical Systemsmentioning

confidence: 99%

Trust Cyber Physical Systems: Trust Degree Framework and Evaluation

Oudina¹,

Derdour²,

Boudour³

et al. 2023

IJSSE

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Trust is the currency of every transaction and exchange and is the pillar of the trusted system concept, which is one of the needs of today and the future. Those systems ease communication and sharing with little user-side load and are used in numerous organizations, financial institutions, military scenarios, and highly confidential works. The evolution of Cyber-Physical Systems (CPS) affects people's way of life and is applied in health care, smart homes, commerce, etc. The cyber-physical system is treated as a trust system if the principles of security and safety, confidentiality, integrity, availability, and another set of properties are guaranteed. The development of CPS requires consistency in requirements management, metrics, formal test process descriptions, and computation methods. The research community is focused on how to realize a novel CPS with high confidence. In the literature, there is no clear definition of all kinds of trustworthiness metrics, and there is no classification of trustworthiness and trust metric types. There is no defined standard for trustworthiness, and there are no rules for calculating CPS trustworthiness. This paper proposes a framework for the evaluation of trust in CPS. This framework ranks the trustworthiness of CPS by degree. Trust degrees for the cyberphysical system are defined, along with a set of requirements and properties for each degree. We proposed a proprieties classification based on functionality and obligation as well as a simple mathematical formula to compute trust in the CPS, which formulates a quantitative view on the guarantee of security, trustworthiness, and trust attributes. The results of this study, which are based on the use of the proposed framework to evaluate the trust of CPS and case study, indicate that our quantitative method is more objective than existing qualitative methods.

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Section: Cyber-physical Systemsmentioning

confidence: 99%